browsers
Firefox
messengers
Jappix - Thunderbird
search
Duckduckgo - Quaero - Scroogle
servers
all2all - domaine public - Telekommunisten
networks
Appleseed - Crabgrass - Diaspora - elgg - OneSocialWeb - pip.io
microblog
identi.ca
RELATED SITES
Ada Lovelace Institute - AI Now - Algorithm Watch - Algorithmic Justice League - AlgoTransparency - Atlas of Surveillance - Big Brother Watch - Citizen Lab - Conspiracy Watch - Constantvzw - controle-tes-donnees.net - Data Detox Kit - Digital Freedom Fund - Domaine Public - Do Not Track Electronic Frontier Foundation - europe-v-facebook - Fight for the Future - Forbidden Stories - Gender Shades - Google Spleen - greatfire.org - Guard//Int - hiljade.kamera.rs - Homo Digitalis - Human Rights Watch - Inside Google - Inside Airbnb - Liberties - LobbyPlag - Make Amazon Pay - Manifest-No - Ministry of Privacy - More Perfect Union - myshadow.org - Naked Citizens - Ni pigeons, ni espions - No-CCTV - Non à l’Etat fouineur - Nothing to Hide - noyb - NURPA - Online Nudity Survey - Open Rights Group - Ordinateurs de Vote - Pixel de tracking - Police spies out of lives - Prism Break - Privacy.net - Privacy International - Privacy Project - La Quadrature du Net - Radical AI Project - Reset the Net - Save the Internet - Souriez vous êtes filmés - Sous surveillance - Spyfiles - StateWatch - Stop Amazon - Stop Data Retention - Stop Killer Robots - Stop Spying - Stop The Cyborgs - Stop the Internet Blacklist ! - Stop the Spies - Stop Watching Us - Sur-ecoute.org - Technopolice - Tech Transparency Project - Transparency Toolkit - URME Surveillance - Watching Alibaba - Where are the Eyes ? - Who Targets Me ? - Wikifémia - Wikileaks
It used to be that all a marketer needed to know was your zipcode, and they could infer your income range and a whole host of other demographic data about you. But with everyone now using mobile phones that can be targeted down to exact GPS coordinates at different times of the day, areas bounded by zipcodes seem vast in comparison. Imagine if instead marketers could break up the world into 100 million different tiles, each one about the size of a city block, and infer everything from what (...)